A classification of code changes and test types dependencies for improving machine learning based test selection.
Khaled Walid Al-SabbaghMiroslaw StaronRegina HebigFrancisco GomesPublished in: PROMISE (2021)
Keyphrases
- machine learning
- supervised classification
- pattern recognition
- decision trees
- support vector machine
- data mining
- machine learning algorithms
- classification systems
- source code
- data sets
- decision rules
- pattern classification
- unsupervised learning
- statistical tests
- classification models
- classification scheme
- multiple types
- fold cross validation
- supervised machine learning
- statistical methods
- test data
- training samples
- image classification
- feature set
- open source
- supervised learning
- classification accuracy
- support vector
- bayesian networks
- neural network